Chi-Squared Goodness-of-Fit Tests for Parametric Accelerated Failure Time Models

DOI10.1080/03610926.2011.617483zbMath1280.62053OpenAlexW2084066204MaRDI QIDQ2859315

Rūta J. Levuliene, Mikhail S. Nikulin, Vilijandas B. Bagdonavičius

Publication date: 7 November 2013

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.617483

zbMATH Keywords

exponential distributionscensoringparametric modelregression modelslognormal distributionchi-squared testlog-logistic distributionWeibull distributionsrandom cellsscale and shape families

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Censored data models (62N01) Reliability and life testing (62N05)

Related Items (7)

Validation of Burr XII inverse Rayleigh model via a modified chi-squared goodness-of-fit test ⋮ The extended Burr-R class: properties, applications and modified test for censored data ⋮ Modeling and analysis of data with confounding covariates and crossing of the hazard functions ⋮ Assessing the censored linear regression model using martingale approximation ⋮ Chi-squared goodness-of-fit tests for the generalized Rayleigh distribution ⋮ On testing the fit of accelerated failure time and proportional hazard Weibull extension models ⋮ An Empirical Analysis of Some Nonparametric Goodness-of-Fit Tests for Censored Data

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